大数据
2019年冠状病毒病(COVID-19)
劳动力
危机管理
大流行
商业智能
业务
商业模式
社会业务
供应链
知识管理
营销
公共关系
经济
管理
计算机科学
政治学
经济增长
医学
疾病
病理
传染病(医学专业)
操作系统
作者
Yasheng Chen,Mohammad Islam Biswas
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2021-11-16
卷期号:13 (22): 12656-12656
被引量:31
摘要
The COVID-19 pandemic has severe impacts on global health and social and economic safety. The present study discusses strategies for turning the COVID-19 crisis into opportunities to use artificial intelligence (AI) and big data in business operations. Based on the shared experience and theoretical ground, researchers identified five major business challenges during the COVID-19 pandemic: production and supply-chain disruption, appropriate business model selection, inventory management, budget planning, and workforce management. These five challenges were outlined with eight business cases as examples of companies that had already utilized AI and big data for their business operations during the COVID-19 pandemic. The outcomes of this study provide valuable insights into contemporary social science research and business management with AI and big data applications as a business response to any crisis in the future.
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